About this episode
Send a textIn this episode, your host Nikola Mrkši? sits down with Matt Henderson, VP of Research at PolyAI, to unpack the state of large language models, their quirks, and what really matters when building smarter voice agents for customer service.Join us for a discussion on:- Why GPT-5 may feel more incremental than game-changing- Why reasoning models can fail at surprisingly simple tasks- How PolyAI's Raven outperforms generalist LLMs in latency-sensitive, real-world CX use cases- The balance between speed, accuracy, and reasoning for live customer interactions- What open-source models, quantization, and fine-tuning mean for enterprise AI strategies? Learn more about Raven and conversational AI here: https://poly.ai/blog/polyai-raven-v2-large-language-model/ Follow PolyAI on LinkedIn Watch this and other episodes of the Deep Learning pod on YouTube
